AI Data Infrastructure Engineer

About the role

Avenga is looking for an AI Data Infrastructure Engineer to help build the core engine of an advanced AI assistant. You will design, implement and secure data pipelines and retrieval-augmented generation solutions that enable intelligent, scalable AI workflows in a regulated environment.

Key responsibilities

• Design and improve retrieval-augmented generation (RAG) architectures and orchestrate LLM-based applications.
• Implement infrastructure as code using Terraform, Docker containers and AWS services (IAM, Secret Manager, ECS, encryption, monitoring and logging).
• Build and expose data services through REST APIs.
• Set up and maintain GitHub repositories, including branch strategies, pull-request reviews and CI/CD pipelines.
• Write automated unit and integration tests with pytest, including mocking and fixtures.
• Perform security scanning and monitor platform performance to ensure compliance and reliability.

Required profile

• Strong cloud expertise, preferably with AWS.
• Hands-on experience with infrastructure-as-code tools such as Terraform.
• Familiarity with containerisation (Docker) and AWS services (IAM, Secret Manager, ECS, encryption).
• Experience building RESTful APIs and working with version control systems like GitHub.
• Proficiency in writing automated tests using pytest.
• Ability to implement security scanning and performance monitoring in production environments.

Required skills

• AWS
• Terraform
• Docker
• IAM
• Secret Manager
• ECS
• Encryption
• REST API
• GitHub
• pytest
• Security scanning
• Monitoring and logging